Module 12 Practice Questions (4)

Front

What is a null hypothesis?

Back

A null hypothesis is a statement that there is no effect or no relationship between variables. It serves as a starting point for statistical testing.

Front

What is an alternative hypothesis?

Back

An alternative hypothesis is a statement that indicates the presence of an effect or a relationship between variables, opposing the null hypothesis.

Front

What does a correlation coefficient (r) indicate?

Back

The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does a p-value represent in hypothesis testing?

Back

A p-value indicates the probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true.

Front

What is the significance level (alpha) in hypothesis testing?

Back

The significance level (alpha) is the threshold for rejecting the null hypothesis, commonly set at 0.05.

Front

What is a two-way table?

Back

A two-way table is a statistical table that displays the frequency distribution of variables, allowing for the analysis of the relationship between them.

Front

How do you interpret a p-value of 0.04?

Back

A p-value of 0.04 suggests strong evidence against the null hypothesis, indicating that the results are statistically significant.

Front

What is the purpose of a scatterplot in data analysis?

Back

A scatterplot visually represents the relationship between two quantitative variables, helping to identify trends, patterns, or correlations.

Front

What is the expected count in a contingency table?

Back

The expected count is the frequency that would be expected in a cell of a contingency table if the null hypothesis were true.

Front

What is the difference between a one-tailed and a two-tailed test?

Back

A one-tailed test assesses the direction of an effect (greater or less), while a two-tailed test assesses whether there is any effect, regardless of direction.